超声学家
工作流程
人工智能
计算机科学
计算机视觉
深度学习
机器人学
超声波
模态(人机交互)
人工神经网络
自动化
机器人
医学
放射科
工程类
机械工程
数据库
作者
Grzegorz Toporek,Haibo Wang,Marcin Balicki,Hua Xie
出处
期刊:EasyChair preprint
日期:2018-05-08
被引量:6
摘要
Although ultrasound (US) is a widely used, non-invasive, and radiation-free imaging modality, manual adjustment of the US probe can be cumbersome and time consuming. An autonomous US scanning device could not only reduce dependence on sonographer’s skills and experience but also improve workflow efficiency especially during interventional procedures. Robot-assisted ultrasound imaging has the potential to improve patient care in rural and underserved areas. There are many previous efforts in this direction but none is fully automatic or accurate enough. In this work, as an initial small step towards independent US imaging workflow solution, we developed and evaluated a robot-assisted fully autonomous ultrasound (RAFAUS) probe positioning system. Desired motion of the probe toward the target view is directly derived from anatomical features implicitly extracted via deep neural network; thus, making this technique (a) invariant to anatomical differences (patient size or organ displacement), (b) decoupled from the robotic system, (c) registration-free, and (d) independent from any external tracking technologies.
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